Machine Learning with Python
Completed by Alexander Lozada Estrella
February 18, 2024
20 hours (approximately)
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What you will learn
Explain key concepts, tools, and roles involved in machine learning, including supervised and unsupervised learning techniques.
Apply core machine learning algorithms such as regression, classification, clustering, and dimensionality reduction using Python and scikit-learn.
Evaluate model performance using appropriate metrics, validation strategies, and optimization techniques.
Build and assess end-to-end machine learning solutions on real-world datasets through hands-on labs, projects, and practical evaluations.
Skills you will gain
- Category: Statistical Methods
- Category: Predictive Modeling
- Category: Model Evaluation
- Category: Model Optimization
- Category: Machine Learning
- Category: Machine Learning Algorithms
- Category: Unsupervised Learning
- Category: Logistic Regression
- Category: Supervised Learning
- Category: Python Programming
- Category: Classification Algorithms
- Category: Scikit Learn (Machine Learning Library)
